{"id":"W4390898272","doi":"10.3390/economies12010018","title":"Asymmetric and Nonlinear Foreign Debt–Inflation Nexus in Brazil: Evidence from NARDL and Markov Regime Switching Approaches","year":2024,"lang":"en","type":"article","venue":"Economies","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Al-Imam Muhammad Ibn Saud Islamic University","keywords":"Economics; Econometrics; Inflation (cosmology); Unit root; Structural break; Cointegration; Markov chain; Distributed lag; Autoregressive model; Monetary economics; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007379374,0.0002309838,0.000482048,0.0006360776,0.00009443731,0.0004239692,0.0001387665,0.0001449089,0.00014758],"category_scores_gemma":[0.0001733306,0.0002686674,0.00007232529,0.0001725501,0.0000633806,0.001495153,0.00009895502,0.0002216269,0.0002496398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001316567,"about_ca_system_score_gemma":0.00001824667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002735177,"about_ca_topic_score_gemma":0.0003088385,"domain_scores_codex":[0.9982846,0.00002112923,0.0006743839,0.0006747439,0.00001622973,0.0003289236],"domain_scores_gemma":[0.9989808,0.0004788636,0.0001674491,0.0002628684,0.000002668184,0.0001073975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001717767,0.00006080262,0.815721,0.0004129211,0.0003867023,0.00003153819,0.00790761,0.004767833,0.00001931269,0.08245983,0.002215719,0.08584499],"study_design_scores_gemma":[0.0004888904,0.0000698381,0.2420936,0.0001518476,0.00001526802,0.00001958287,0.0002813966,0.6446971,0.00004482294,0.1048054,0.006835754,0.0004964806],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9468504,0.03599713,0.0006779885,0.001332462,0.0002516059,0.000225125,0.0001084566,0.00005353588,0.01450333],"genre_scores_gemma":[0.9946641,0.002264343,0.002102354,0.0001865062,0.0002996103,0.00002174742,0.00002229494,0.00003317599,0.0004058288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6399292,"threshold_uncertainty_score":0.9999766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08724451342138126,"score_gpt":0.2407559488366721,"score_spread":0.1535114354152908,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}